The correct answer is that the query identifies customers who placed more than 5 orders in 2023. This is because the SQL HAVING clause example demonstrates how HAVING filters grouped data after aggregation—here, it applies the condition COUNT(*) > 5 to each customer group, while the WHERE clause first restricts rows to only those with an order_date in 2023. On the CompTIA Data+ DA0-001 exam, this tests your understanding of the difference between WHERE (filters rows before grouping) and HAVING (filters groups after aggregation). A common trap is confusing HAVING with WHERE, but remember: WHERE cannot use aggregate functions like COUNT, while HAVING can. For a quick memory tip, think “HAVING has aggregates, WHERE does not.”
DA0-001 Analyzing and Modeling Data Practice Question
This DA0-001 practice question tests your understanding of analyzing and modeling data. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Exhibit
Refer to the exhibit.
SELECT customer_id, COUNT(order_id) AS order_count
FROM orders
WHERE order_date BETWEEN '2023-01-01' AND '2023-12-31'
GROUP BY customer_id
HAVING COUNT(order_id) > 5;
The exhibit shows an SQL query executed on an 'orders' table that contains 'order_id', 'customer_id', and 'order_date'. What is the purpose of this query?
Refer to the exhibit.
SELECT customer_id, COUNT(order_id) AS order_count
FROM orders
WHERE order_date BETWEEN '2023-01-01' AND '2023-12-31'
GROUP BY customer_id
HAVING COUNT(order_id) > 5;
A
Count total orders per customer regardless of date
Why wrong: There is a date filter in WHERE clause.
B
Calculate average order count per customer for 2023
Why wrong: The query counts orders, not averages.
C
Find products with more than 5 orders in 2023
Why wrong: The query is about customers, not products.
D
Identify customers who placed more than 5 orders in 2023
The query filters by 2023 date and having count > 5.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Identify customers who placed more than 5 orders in 2023
The query groups orders by customer_id and filters using a HAVING clause with COUNT(*) > 5, which counts the number of orders per customer. The WHERE clause restricts orders to those placed in 2023, so the result identifies customers who placed more than 5 orders in that year. This matches option D exactly.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Count total orders per customer regardless of date
Why it's wrong here
There is a date filter in WHERE clause.
✗
Calculate average order count per customer for 2023
Why it's wrong here
The query counts orders, not averages.
✗
Find products with more than 5 orders in 2023
Why it's wrong here
The query is about customers, not products.
✓
Identify customers who placed more than 5 orders in 2023
Why this is correct
The query filters by 2023 date and having count > 5.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
CompTIA often tests the distinction between WHERE and HAVING, and the trap here is confusing a count of orders per customer with a count of products or an average, leading candidates to pick option B or C.
Detailed technical explanation
How to think about this question
The HAVING clause is applied after GROUP BY aggregation, allowing filtering on aggregate functions like COUNT(*). In SQL, WHERE filters rows before grouping, while HAVING filters groups after aggregation. A real-world scenario is customer segmentation for loyalty programs, where you need to identify high-frequency buyers within a specific time period.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the DA0-001 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Analyzing and Modeling Data — This question tests Analyzing and Modeling Data — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Identify customers who placed more than 5 orders in 2023 — The query groups orders by customer_id and filters using a HAVING clause with COUNT(*) > 5, which counts the number of orders per customer. The WHERE clause restricts orders to those placed in 2023, so the result identifies customers who placed more than 5 orders in that year. This matches option D exactly.
What should I do if I get this DA0-001 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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